Optimal design method of soil and water conservation for power grid construction based on disturbance factor analysis

Abstract

The present invention belongs to the field of soil and water conservation technology and provides a method for optimizing soil and water conservation design for power grid project construction based on disturbance factor analysis. The method comprises: obtaining a first disturbance factor based on the differences in disturbances caused by power grid project construction on the construction area; obtaining a second disturbance factor based on the disturbance impact of power grid project construction on vegetation; obtaining a third disturbance factor based on factors affecting the implementation quality of soil and water conservation during power grid project construction; combining the first disturbance factor, the second disturbance factor, and the third disturbance factor, and analyzing them using a neural network model to obtain analysis results; and implementing optimized soil and water conservation design for power grid project construction based on the analysis results. The present invention obtains accurate analysis results by obtaining different disturbance factors and performing comprehensive analysis, thereby achieving optimized design for soil and water conservation during power grid project construction based on the analysis results, thereby improving the scientificity, accuracy, and comprehensiveness of the optimized design.

Description

Technical Field

[0001] The present invention relates to the technical field of soil and water conservation, and in particular to a method for optimizing soil and water conservation design for power grid engineering construction based on disturbance factor analysis. Background Art

[0002] The characteristics of soil erosion during power grid construction have become a major scientific issue explored by the International Soil Erosion Society. As a linear project, transmission line projects exhibit the following characteristics: They span a large spatial span, traversing multiple soil erosion zones. These zones have varying background values ​​for soil erosion, leading to varying soil and water conservation measures. They exhibit a discrete (linear) distribution, resulting in a large overall disturbance area and low soil erosion intensity, but with intense localized point-to-point erosion. They also exhibit a phased nature, with soil erosion generally being more severe during the construction phase. During the operational phase, however, soil erosion levels gradually decrease as soil and water conservation measures gradually take effect.

[0003] Based on the topographic, hydrological, meteorological, and soil characteristics of the area where the transmission line project is located, a detailed analysis of possible soil and water conservation disturbance factors is conducted, and corresponding soil and water conservation measures are formulated at different construction stages. Consideration is given to problems such as surface cover damage, soil erosion, and water pollution that may arise during construction, and appropriate engineering measures, such as vegetation cover, reasonable slope design, and dike construction, are considered to minimize the impact of construction on land and water. This is an essential part of optimizing the soil and water conservation design of power grid project construction.

[0004] While much research has been conducted on the characteristics of soil and water erosion and comprehensive control technologies for regional general production and construction projects, less attention has been paid to soil and water erosion issues associated with power grid construction. Furthermore, the effectiveness of soil and water conservation in transmission line projects in hilly areas is generally poor, and a comprehensive control technology system tailored to the characteristics of transmission and transformation lines has yet to be established. This is primarily because long-distance transmission lines are often constructed across regions, and control measures and configuration models vary across different soil and water erosion types, adding complexity to soil and water erosion control.

[0005] Therefore, an optimization design method for soil and water conservation in power grid project construction based on disturbance factor analysis is needed. Summary of the Invention

[0006] The present invention provides a method for optimizing the design of soil and water conservation for power grid project construction based on disturbance factor analysis. By obtaining different disturbance factors and conducting comprehensive analysis, accurate analysis results can be obtained. Based on the analysis results, the optimized design of soil and water conservation for power grid project construction can be achieved, which can improve the scientificity, accuracy and comprehensiveness of the optimized design.

[0007] The present invention provides a method for optimizing soil and water conservation design for power grid project construction based on disturbance factor analysis, comprising:

[0008] According to the difference of disturbance caused by power grid construction to the construction area, the first disturbance factor is obtained;

[0009] According to the disturbance effect of power grid construction on vegetation, the second disturbance factor is obtained;

[0010] According to the factors affecting the implementation quality of soil and water conservation in power grid project construction, the third disturbance factor is obtained;

[0011] Combining the first disturbance factor, the second disturbance factor, and the third disturbance factor, performing analysis using a neural network model to obtain analysis results;

[0012] Based on the analysis results, the optimized design of soil and water conservation for power grid project construction is implemented.

[0013] Furthermore, according to the difference in disturbance caused by the power grid project construction to the construction area, a first disturbance factor is obtained, including:

[0014] Obtain basic land data for power grid project construction areas;

[0015] Analyze basic land data to obtain the differences in disturbances caused by power grid construction in the construction area;

[0016] According to the disturbance differences, they are classified, summarized and assigned values ​​to obtain the first disturbance factor.

[0017] Furthermore, basic land data of the power grid project construction area is obtained, including:

[0018] The soil erosion modulus is estimated using the soil loss equation to obtain the soil erosion modulus;

[0019] According to the soil erosion classification and grading standards, the soil erosion modulus is classified and graded to obtain the spatial distribution results of soil erosion intensity;

[0020] According to the results of spatial distribution of soil erosion intensity, the differences in terrain slope and elevation on soil erosion intensity were analyzed to obtain the results of spatial distribution of soil and water loss intensity;

[0021] Based on the spatial distribution results of soil and water loss intensity, the basic land data of the power grid project construction area was extracted.

[0022] Furthermore, according to the degree of disturbance of the vegetation by the power grid construction, a second disturbance factor is obtained, including:

[0023] Obtain the disturbance impact of power grid construction on vegetation, where the disturbance impact includes the degree of disturbance and the range of disturbance;

[0024] Obtain the factors affecting vegetation recovery based on the impact of disturbance;

[0025] According to the influencing factors, the limiting factors of vegetation restoration were analyzed and obtained;

[0026] The vegetation restoration restriction factor is assigned as the second disturbance factor.

[0027] Furthermore, according to the factors affecting the construction quality of soil and water conservation in power grid project construction, the third disturbance factor is obtained, including:

[0028] Obtain the factors affecting the construction quality of soil and water conservation in power grid project construction, including cost input, personnel input, project volume, construction difficulty, and vegetation restoration period;

[0029] Based on the polynomial function, an analysis model of construction quality influencing factors is constructed. The construction quality influencing factors are used as parameters of the polynomial function. The comprehensive impact degree of construction quality that affects soil and water conservation in power grid project construction is calculated using the construction quality influencing factors analysis model. The comprehensive impact degree of construction quality is used as the third disturbance factor.

[0030] Furthermore, the first perturbation factor, the second perturbation factor, and the third perturbation factor are combined and analyzed using a neural network model to obtain analysis results, including:

[0031] The first disturbance factor, the second disturbance factor, and the third disturbance factor are input into a preset neural network model for analysis to obtain a predicted value of the degree of disturbance impact on the optimal design of soil and water conservation for power grid project construction;

[0032] Based on the predicted value of the disturbance impact degree, several analysis templates are used to analyze multiple categories of items to obtain analysis results.

[0033] Furthermore, based on the analysis results, the optimized design of soil and water conservation for power grid project construction was implemented, including:

[0034] Based on the analysis results, charts and reports are generated to formulate implementation plans for optimized soil and water conservation design for power grid project construction;

[0035] The implementation plan includes:

[0036] Using a 3D terrain model, a 3D scene map of the power grid project construction area is constructed to design, deploy, and implement the soil and water conservation process for the power grid project construction.

[0037] Based on satellite remote sensing data or with the help of drones, remote sensing image data of the power grid construction area is obtained, and the remote sensing image data is pre-processed to obtain surface reflectivity data and surface cover information data to evaluate the vegetation restoration of soil and water conservation during the power grid construction and obtain the first assessment results;

[0038] Using remote sensing image data and geographic information system technology, a soil and water conservation evaluation model was established to evaluate the effectiveness of soil and water conservation during power grid project construction and obtain a second evaluation result;

[0039] According to the implementation progress, the results of the first and second assessments, based on soil habitat creation technology and plant optimization configuration plan, combined with the construction conditions, construction technical standards, construction period requirements and cost budget of the power grid project, construction is carried out in accordance with the corresponding construction technology.

[0040] Furthermore, before generating charts and reports based on the analysis results for use in formulating an implementation plan for optimizing the design of soil and water conservation for power grid project construction, the following steps are also included:

[0041] The feasibility and construction benefit evaluation of soil and water conservation in power grid project construction are as follows:

[0042] Collect case data of power grid project construction under different conditions, conduct feasibility analysis on the case data, and obtain feasibility analysis results;

[0043] Based on the feasibility analysis results, determine the evaluation index system for power grid project construction under different conditions, as well as the weights and scoring methods of different indicators;

[0044] Based on the evaluation index system, weights and scoring method, a power grid project construction benefit evaluation model is established to conduct power grid project construction benefit evaluation and obtain power grid project construction benefit evaluation results;

[0045] According to the feasibility analysis results and the power grid project construction benefit evaluation results, economic benefit calculation is carried out based on the economic benefit calculation model to obtain economic benefit calculation data;

[0046] Include economic benefit measurement data as part of charts and reports.

[0047] Furthermore, it also includes establishing a monitoring and simulation model for power grid project construction, conducting simulation monitoring and simulation of the implementation of the implementation plan, and improving the construction strategy based on the simulation monitoring and simulation results, including:

[0048] The first disturbance factor, the second disturbance factor, and the third disturbance factor are weighted based on their impact on the progress of the power grid project to obtain a first weighted disturbance factor, a second weighted disturbance factor, and a third weighted disturbance factor;

[0049] Summing the first weighted disturbance factor, the second weighted disturbance factor, and the third weighted disturbance factor to obtain a comprehensive weighted disturbance factor;

[0050] According to the construction progress stage, obtain soil and water conservation simulation monitoring and deduction data for several preset periods;

[0051] Processing the level-keeping simulation monitoring and deduction data to obtain the resolution coefficients of several preset periods;

[0052] Using the grey correlation analysis algorithm, the resolution coefficients of several preset periods are used as the resolution coefficients of the grey correlation analysis algorithm, the simulated monitoring and deduction vectors of multiple sampling moments within the preset period and the characteristic vectors in the soil and water conservation disturbance impact category database are used as the input of the grey correlation analysis algorithm, and the output is the matching value of the simulated monitoring and deduction vectors and the characteristic vectors at multiple sampling moments. If the matching value is greater than the preset matching threshold, the soil and water conservation disturbance impact category of the preset period can be determined. According to the soil and water conservation disturbance impact category, matching is performed in the preset soil and water conservation disturbance impact response construction strategy library to match the response construction strategy for improving the soil and water conservation disturbance impact.

[0053] Furthermore, it also includes presenting a scenario of optimized design of soil and water conservation for power grid project construction based on augmented reality technology, adjusting the scenario based on artificial intelligence technology, and presenting the adjustment results in real time. The specific steps are as follows:

[0054] Using a processor equipped with an augmented reality device to present an electronic map of the power grid project construction area;

[0055] Presenting augmented reality scenarios of soil and water conservation optimization designs for multiple power grid construction projects on electronic maps;

[0056] According to the user's selection operation of a first target scene of the augmented reality scene, basic scene information corresponding to the first target scene and a set of object information of objects constituting the scene are obtained, and the basic scene information and the set of object information are presented;

[0057] Based on the user's adjustment operation on the second target scene of the augmented reality scene, the basic information of the scene to be adjusted corresponding to the second target scene and the object information of the objects in the scene to be adjusted are obtained. Using the artificial intelligence algorithm model, the rendering pose of the object information is adjusted, and the adjustment results are presented in real time to achieve the adjustment and improvement of the scene of the optimized design of soil and water conservation in the construction of the power grid project.

[0058] Compared with the prior art, the present invention has the following advantages and beneficial effects: by obtaining different disturbance factors and conducting comprehensive analysis, accurate analysis results can be obtained, and thus, based on the analysis results, the optimized design of soil and water conservation for power grid project construction can be realized, which can improve the scientificity, accuracy and comprehensiveness of the optimized design.

[0059] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0060] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0062] Figure 1 Schematic diagram of the steps of the method for optimizing design of soil and water conservation for power grid project construction based on disturbance factor analysis of the present invention;

[0063] Figure 2 Schematic diagram of the method steps for obtaining a first disturbance factor according to the disturbance differences caused by power grid construction in a construction area according to the present invention;

[0064] Figure 3 This is a schematic diagram of the steps of the method for obtaining land base data of the power grid project construction area according to the present invention. DETAILED DESCRIPTION

[0065] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0066] The present invention provides a method for optimizing the design of soil and water conservation in power grid construction based on disturbance factor analysis. Figure 1 Shown, including:

[0067] According to the difference of disturbance caused by power grid construction to the construction area, the first disturbance factor is obtained;

[0068] According to the disturbance effect of power grid construction on vegetation, the second disturbance factor is obtained;

[0069] According to the factors affecting the implementation quality of soil and water conservation in power grid project construction, the third disturbance factor is obtained;

[0070] Combining the first disturbance factor, the second disturbance factor, and the third disturbance factor, performing analysis using a neural network model to obtain analysis results;

[0071] Based on the analysis results, the optimized design of soil and water conservation for power grid project construction is implemented.

[0072] The working principle and beneficial effects of the above technical solution are as follows: in order to achieve the optimal design of soil and water conservation for power grid project construction, this application document obtains a first disturbance factor based on the disturbance differences caused by power grid project construction on the construction area; obtains a second disturbance factor based on the disturbance impact of power grid project construction on vegetation; and obtains a third disturbance factor based on the factors affecting the implementation quality of soil and water conservation for power grid project construction; these three disturbance factors all have a disturbing effect on power grid project construction, and obtaining disturbance factors from different angles can achieve a comprehensive analysis of disturbance factors. Combining the first disturbance factor, the second disturbance factor, and the third disturbance factor, a neural network model is used for analysis to obtain analysis results; based on the analysis results, the optimal design of soil and water conservation for power grid project construction is implemented, and an accurate and comprehensive optimal design of soil and water conservation for power grid project construction based on disturbance factor analysis can be achieved;

[0073] By adopting the solution provided in this embodiment, accurate analysis results can be obtained by obtaining different disturbance factors and performing comprehensive analysis. Based on the analysis results, the optimized design of soil and water conservation for power grid project construction can be achieved, which can improve the scientificity, accuracy and comprehensiveness of the optimized design.

[0074] In one embodiment, Figure 2 As shown in FIG, based on the difference in disturbances caused by the power grid project construction to the construction area, the first disturbance factor is obtained, including:

[0075] Obtain basic land data for power grid project construction areas;

[0076] Analyze basic land data to obtain the differences in disturbances caused by power grid construction in the construction area;

[0077] According to the disturbance differences, they are classified, summarized and assigned values ​​to obtain the first disturbance factor.

[0078] The working principle and beneficial effects of the above technical solution are as follows: corresponding to different landform types, the same erosion unit will have different amounts of soil and water loss. For example, compared with plain areas, in hilly areas, the areas with serious soil erosion during power grid construction are station areas and tower base areas, followed by construction roads, while in plain areas, roads are the areas with the largest soil erosion modulus. The difference in disturbance caused by power grid construction to tower base areas and temporary construction road areas is mainly reflected in the two aspects of disturbance area and compaction degree. The disturbance area of ​​tower base areas is relatively small and the compaction degree is relatively light; while the disturbance area of ​​temporary construction road areas is large and the compaction degree is relatively large. This leads to different disturbance differences. According to the basic land data of the power grid construction area, the difference in disturbance caused by power grid construction to the construction area can be analyzed to provide a basis for obtaining disturbance factors of different places in a targeted manner. Then, according to the disturbance differences, they are classified, summarized and assigned values ​​to obtain the first disturbance factor.

[0079] The solution provided in this embodiment can provide the necessary basic conditions for obtaining accurate disturbance factors based on the acquisition of disturbance differences.

[0080] In one embodiment, Figure 3 As shown, obtain the basic land data of the power grid project construction area, including:

[0081] The soil erosion modulus is estimated using the soil loss equation to obtain the soil erosion modulus;

[0082] According to the soil erosion classification and grading standards, the soil erosion modulus is classified and graded to obtain the spatial distribution results of soil erosion intensity;

[0083] According to the results of spatial distribution of soil erosion intensity, the differences in terrain slope and elevation on soil erosion intensity were analyzed to obtain the results of spatial distribution of soil and water loss intensity;

[0084] Based on the spatial distribution results of soil and water loss intensity, the basic land data of the power grid project construction area was extracted.

[0085] The working principle and beneficial effects of the above technical solution are as follows: through data collection and on-site investigation, changes in land use types, soil erosion conditions, vegetation types, vegetation coverage, and other environmental data in and around the power grid construction disturbance area under mechanized construction conditions are obtained, as well as climate, hydrology, topography, and landforms. Basic land data can then be obtained, and the soil erosion modulus is estimated using the soil loss equation to obtain the soil erosion modulus. The soil loss equation is:

[0086] A=R×K×L×S×C×P×f

[0087] In the above formula, A represents soil erosion modulus; R represents rainfall and runoff factor; K represents soil erodibility factor; L represents slope length; S represents slope factor; C represents vegetation cover and management factor; P represents soil and water conservation measures factor; f represents conversion coefficient;

[0088] Then, based on the soil erosion classification and grading standards, the soil erosion modulus is classified and graded for matching and querying to obtain the spatial distribution results of soil erosion intensity. Based on the spatial distribution results of soil erosion intensity, the differences in the effects of terrain slope and elevation on soil erosion intensity are analyzed to further obtain the spatial distribution results of soil and water loss intensity. Based on the spatial distribution results of soil and water loss intensity, the basic land data of the power grid construction area is extracted.

[0089] By adopting the solution provided in this embodiment, accurate and comprehensive basic land data of the power grid project construction area can be obtained by estimating the soil erosion modulus and obtaining the spatial distribution results of soil and water loss intensity.

[0090] In one embodiment, obtaining a second disturbance factor based on the degree of disturbance to vegetation caused by power grid construction includes:

[0091] Obtain the disturbance impact of power grid construction on vegetation, where the disturbance impact includes the degree of disturbance and the range of disturbance;

[0092] Obtain the factors affecting vegetation recovery based on the impact of disturbance;

[0093] According to the influencing factors, the limiting factors of vegetation restoration were analyzed and obtained;

[0094] The vegetation restoration restriction factor is assigned as the second disturbance factor.

[0095] The working principle and beneficial effects of the above technical solution are as follows: by investigating the degree and range of disturbance to the native vegetation resources of power grid projects caused by different construction conditions, construction methods, construction time limits, types and quantities of construction machinery, the restrictive factors for vegetation restoration under mechanized construction conditions are analyzed from the aspects of vegetation restoration influencing factors such as moisture, air, light, and soil conditions. The restrictive factors for vegetation restoration are assigned a value and processed as the second disturbance factor to ensure the accuracy of the obtained disturbance factor.

[0096] By adopting the solution provided in this embodiment, the vegetation restoration restriction factor is obtained from the perspective of disturbance to vegetation resources, and the factor is used as the second disturbance factor, thereby ensuring the accuracy of the disturbance factor acquisition.

[0097] In one embodiment, the third disturbance factor is obtained based on factors affecting the construction quality of soil and water conservation in power grid project construction, including:

[0098] Obtain the factors affecting the construction quality of soil and water conservation in power grid project construction, including cost input, personnel input, project volume, construction difficulty, and vegetation restoration period;

[0099] Based on the polynomial function, an analysis model of construction quality influencing factors is constructed. The construction quality influencing factors are used as parameters of the polynomial function. The comprehensive impact degree of construction quality that affects soil and water conservation in power grid project construction is calculated using the construction quality influencing factors analysis model. The comprehensive impact degree of construction quality is used as the third disturbance factor.

[0100] The working principle and beneficial effects of the above technical solution are as follows: in order to obtain the construction quality influencing factors of soil and water conservation in power grid project construction, starting from the quality influencing factors such as cost input, personnel input, project volume, construction difficulty and vegetation restoration period, a construction quality influencing factor analysis model is constructed using a polynomial function. The construction quality influencing factors are used as parameters of the polynomial function. The construction quality influencing factor analysis model is used to calculate the comprehensive impact degree value of the construction quality affecting soil and water conservation in power grid project construction. The comprehensive impact degree value of the construction quality is used as the third disturbance factor, which can ensure the accuracy of the acquisition of the third disturbance factor.

[0101] By adopting the solution provided in this embodiment, a construction quality influencing factor analysis model is constructed by using a polynomial function, and the construction quality influencing factors are used as parameters of the polynomial function to obtain the third disturbance factor, thereby ensuring the accuracy of obtaining the third disturbance factor.

[0102] In one embodiment, the first perturbation factor, the second perturbation factor, and the third perturbation factor are combined and analyzed using a neural network model to obtain analysis results, including:

[0103] The first disturbance factor, the second disturbance factor, and the third disturbance factor are input into a preset neural network model for analysis to obtain a predicted value of the degree of disturbance impact on the optimal design of soil and water conservation for power grid project construction;

[0104] Based on the predicted value of the disturbance impact degree, several analysis templates are used to analyze multiple categories of items to obtain analysis results.

[0105] The working principle and beneficial effects of the above technical solution are as follows: in order to obtain accurate analysis results, a first disturbance factor, a second disturbance factor, and a third disturbance factor are combined and analyzed using a neural network model. The first disturbance factor, the second disturbance factor, and the third disturbance factor are input into a preset neural network model for analysis to obtain a predicted value of the degree of disturbance impact on the optimal design of soil and water conservation in the construction of a power grid project; based on the predicted value of the degree of disturbance impact, multiple categories are analyzed using several analysis templates to obtain analysis results;

[0106] By adopting the solution provided in this embodiment and using a neural network model to perform multi-input analysis of disturbance factors, accurate analysis results can be obtained.

[0107] In one embodiment, based on the analysis results, an optimized design of soil and water conservation for power grid project construction is implemented, including:

[0108] Based on the analysis results, charts and reports are generated to formulate implementation plans for optimized soil and water conservation design for power grid project construction;

[0109] The implementation plan includes:

[0110] Using a 3D terrain model, a 3D scene map of the power grid project construction area is constructed to design, deploy, and implement the soil and water conservation process for the power grid project construction.

[0111] Based on satellite remote sensing data or with the help of drones, remote sensing image data of the power grid construction area is obtained, and the remote sensing image data is pre-processed to obtain surface reflectivity data and surface cover information data to evaluate the vegetation restoration of soil and water conservation during the power grid construction and obtain the first assessment results;

[0112] Using remote sensing image data and geographic information system technology, a soil and water conservation evaluation model was established to evaluate the effectiveness of soil and water conservation during power grid project construction and obtain a second evaluation result;

[0113] According to the implementation progress, the results of the first and second assessments, based on soil habitat creation technology and plant optimization configuration plan, combined with the construction conditions, construction technical standards, construction period requirements and cost budget of the power grid project, construction is carried out in accordance with the corresponding construction technology.

[0114] The working principle and beneficial effects of the above technical solution are as follows: after obtaining the analysis results, an optimized design for soil and water conservation for power grid project construction is implemented, which includes: generating charts and reports based on the analysis results for use in formulating an implementation plan for the optimized design for soil and water conservation for power grid project construction; wherein the implementation plan includes: using a three-dimensional terrain model to construct a three-dimensional scene map of the power grid project construction area, which can be used to design, deploy and launch the implementation process of soil and water conservation for power grid project construction; obtaining remote sensing image data of the power grid project construction area based on satellite remote sensing data or with the help of drones, and pre-processing the remote sensing image data to obtain surface reflectivity data and surface cover information data, which can be used to evaluate the vegetation recovery status of soil and water conservation for power grid project construction and obtain a first evaluation result; using remote sensing image data and geographic information system technology, a soil and water conservation evaluation model is established to evaluate the effectiveness of soil and water conservation for power grid project construction and obtain a second evaluation result; based on the implementation process, the first evaluation results and the second evaluation results, construction is carried out in accordance with the corresponding construction process based on soil habitat creation technology and plant optimization configuration plan, combined with the power grid project construction conditions, construction technical standards, construction period requirements and cost budget;

[0115] By adopting the solution provided in this embodiment, charts and reports are generated based on the analysis results to formulate an implementation plan for the optimized design of soil and water conservation for power grid project construction, thereby realizing the implementation of the optimized design of soil and water conservation for power grid project construction;

[0116] In one embodiment, before generating charts and reports based on the analysis results for use in formulating an implementation plan for optimizing the design of soil and water conservation for power grid project construction, the following steps are also included:

[0117] The feasibility and construction benefit evaluation of soil and water conservation in power grid project construction are as follows:

[0118] Collect case data of power grid project construction under different conditions, conduct feasibility analysis on the case data, and obtain feasibility analysis results;

[0119] Based on the feasibility analysis results, determine the evaluation index system for power grid project construction under different conditions, as well as the weights and scoring methods of different indicators;

[0120] Based on the evaluation index system, weights and scoring method, a power grid project construction benefit evaluation model is established to conduct power grid project construction benefit evaluation and obtain power grid project construction benefit evaluation results;

[0121] According to the feasibility analysis results and the power grid project construction benefit evaluation results, economic benefit calculation is carried out based on the economic benefit calculation model to obtain economic benefit calculation data;

[0122] Include economic benefit measurement data as part of charts and reports.

[0123] The working principle and beneficial effects of the above technical solution are as follows: before generating charts and reports based on the analysis results for use in formulating an implementation plan for the optimized design of soil and water conservation for power grid project construction, by evaluating the feasibility of soil and water conservation for power grid project construction and evaluating the construction benefits, the charts and reports can be further enriched and improved based on the evaluation results; by collecting case data of power grid project construction under different conditions and conducting a feasibility analysis on the case data, the feasibility analysis results can be obtained; by determining the evaluation index system for power grid project construction under different conditions, as well as the weights and scoring methods of different indicators based on the feasibility analysis results; based on the evaluation index system, weights and scoring methods, a power grid project construction benefit evaluation model is established, and a power grid project construction benefit evaluation is conducted to obtain the power grid project construction benefit evaluation results; based on the feasibility analysis results and the power grid project construction benefit evaluation results, economic benefit calculation is conducted based on the economic benefit calculation model, and economic benefit calculation data can be obtained; the economic benefit calculation data is used as part of the charts and reports, thereby supplementing and improving the charts and reports;

[0124] By adopting the solution provided in this embodiment, the feasibility of soil and water conservation in power grid project construction and the construction benefit evaluation are evaluated, and economic benefit calculation data are obtained based on the evaluation results. The economic benefit calculation data can be used to enrich charts and reports.

[0125] In one embodiment, the method further includes establishing a monitoring and simulation model for the construction of the power grid project, performing simulation monitoring and simulation on the implementation of the implementation plan, and improving the construction strategy based on the simulation monitoring and simulation results, including:

[0126] The first disturbance factor, the second disturbance factor, and the third disturbance factor are weighted based on their impact on the progress of the power grid project to obtain a first weighted disturbance factor, a second weighted disturbance factor, and a third weighted disturbance factor;

[0127] Summing the first weighted disturbance factor, the second weighted disturbance factor, and the third weighted disturbance factor to obtain a comprehensive weighted disturbance factor;

[0128] According to the construction progress stage, obtain soil and water conservation simulation monitoring and deduction data for several preset periods;

[0129] Processing the level-keeping simulation monitoring and deduction data to obtain the resolution coefficients of several preset periods;

[0130] Using the grey correlation analysis algorithm, the resolution coefficients of several preset periods are used as the resolution coefficients of the grey correlation analysis algorithm, the simulated monitoring and deduction vectors of multiple sampling moments within the preset period and the characteristic vectors in the soil and water conservation disturbance impact category database are used as the input of the grey correlation analysis algorithm, and the output is the matching value of the simulated monitoring and deduction vectors and the characteristic vectors at multiple sampling moments. If the matching value is greater than the preset matching threshold, the soil and water conservation disturbance impact category of the preset period can be determined. According to the soil and water conservation disturbance impact category, matching is performed in the preset soil and water conservation disturbance impact response construction strategy library to match the response construction strategy for improving the soil and water conservation disturbance impact.

[0131] The working principle and beneficial effects of the above technical solution are as follows: in order to better test the implementation of the optimized design of soil and water conservation in the construction of power grid projects, a monitoring and deduction model for the construction of power grid projects is established to simulate the implementation of the implementation plan, and the construction strategy is improved according to the results of the simulation monitoring and deduction, which can effectively ensure the quality of the optimized design of soil and water conservation in construction. The first disturbance factor, the second disturbance factor, and the third disturbance factor are weighted based on the degree of influence on the implementation progress of the power grid project to obtain the first weighted disturbance factor, the second weighted disturbance factor, and the third weighted disturbance factor; the demand for scientific and flexible setting of disturbance factors can be met, and the first weighted disturbance factor, the second weighted disturbance factor, and the third weighted disturbance factor are summed to obtain a comprehensive weighted disturbance factor; according to the construction progress stage, several preset periods of soil and water conservation simulation monitoring and deduction data are obtained; the horizontal maintenance simulation monitoring and deduction data are processed to obtain the resolution coefficients of several preset periods; the gray correlation analysis algorithm is used to sum the several preset periods The resolution coefficient is used as the resolution coefficient of the grey relational analysis algorithm. The simulated monitoring deduction vectors at multiple sampling moments within a preset period and the characteristic vectors in the soil and water conservation disturbance impact category database are used as the input of the grey relational analysis algorithm. The output is the matching value between the simulated monitoring deduction vectors at multiple sampling moments and the characteristic vectors. If the matching value is greater than the preset matching threshold, the soil and water conservation disturbance impact category of the preset period can be determined. According to the soil and water conservation disturbance impact category, the preset soil and water conservation disturbance impact response construction strategy database is matched to match the improved soil and water conservation disturbance impact response construction strategy. Among them, the basic idea of ​​the grey relational analysis algorithm is to judge whether the connection between different sequences is close based on the similarity of the geometric shapes of the sequence curves. The basic idea is to convert the discrete behavior observation values ​​of the system factors into piecewise continuous broken lines through the method of linear interpolation, and then construct a model for measuring the degree of correlation based on the geometric characteristics of the broken lines. The closer the geometric shapes of the broken lines are, the greater the correlation between the corresponding sequences, and vice versa.

[0132] By adopting the solution provided in this embodiment, a monitoring and deduction model for power grid project construction is established, the implementation of the implementation plan is simulated, monitored and deduced, and the construction strategy is improved based on the simulation monitoring and deduction results, which can effectively ensure the quality of the construction soil and water conservation optimization design.

[0133] In one embodiment, the method further includes presenting a scene of optimized design of soil and water conservation for power grid project construction based on augmented reality technology, adjusting the scene based on artificial intelligence technology, and presenting the adjustment results in real time. The specific steps are as follows:

[0134] Using a processor equipped with an augmented reality device to present an electronic map of the power grid project construction area;

[0135] Presenting augmented reality scenarios of soil and water conservation optimization designs for multiple power grid construction projects on electronic maps;

[0136] According to the user's selection operation of a first target scene of the augmented reality scene, basic scene information corresponding to the first target scene and a set of object information of objects constituting the scene are obtained, and the basic scene information and the set of object information are presented;

[0137] Based on the user's adjustment operation on the second target scene of the augmented reality scene, the basic information of the scene to be adjusted corresponding to the second target scene and the object information of the objects in the scene to be adjusted are obtained. Using the artificial intelligence algorithm model, the rendering pose of the object information is adjusted, and the adjustment results are presented in real time to achieve the adjustment and improvement of the scene of the optimized design of soil and water conservation in the construction of the power grid project.

[0138] The working principle and beneficial effects of the above technical solution are as follows: in order to better present the scene of soil and water conservation optimization design for power grid project construction, the scene of soil and water conservation optimization design for power grid project construction is presented based on augmented reality technology, and the scene is adjusted based on artificial intelligence technology, and the adjustment results are presented in real time, which can realize the intelligentization of soil and water conservation optimization design for power grid project construction and make accurate, vivid and timely scene adjustments; an electronic map of the power grid project construction area is presented by a processor equipped with an augmented reality device; multiple augmented reality scenes of soil and water conservation optimization design for power grid project construction are presented on the electronic map; based on the user's selection operation of a first target scene of the augmented reality scene, basic scene information corresponding to the first target scene and a set of object information of objects constituting the scene are obtained, and the basic scene information and object information set are presented; based on the user's adjustment operation of a second target scene of the augmented reality scene, basic scene information to be adjusted corresponding to the second target scene and object information of objects constituting the scene to be adjusted are obtained, the rendering pose of the object information is adjusted using an artificial intelligence algorithm model, and the adjustment results are presented in real time, so as to achieve adjustment and improvement of the scene of soil and water conservation optimization design for power grid project construction;

[0139] By adopting the solution provided in this embodiment, the scene of soil and water conservation optimization design for power grid project construction is presented based on augmented reality technology, and the scene is adjusted based on artificial intelligence technology, and the adjustment results are presented in real time. This can realize the intelligentization of soil and water conservation optimization design for power grid project construction and make accurate, vivid and timely scene adjustments.

[0140] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. The optimization design method of soil and water conservation for power grid construction based on disturbance factor analysis is characterized by: include: Obtaining a first disturbance factor based on the disturbance differences caused by the power grid project construction on the construction area; the method includes: obtaining land base data of the power grid project construction area; analyzing the land base data to obtain the disturbance differences caused by the power grid project construction on the construction area; and classifying, summarizing, and assigning values ​​based on the disturbance differences to obtain the first disturbance factor. Obtaining a second disturbance factor based on the disturbance impact of the power grid project construction on the vegetation; the method includes: obtaining the disturbance impact of the power grid project construction on the vegetation, wherein the disturbance impact includes the disturbance degree and the disturbance range; obtaining the influencing factors of vegetation recovery based on the disturbance impact; analyzing and obtaining the vegetation recovery restriction factor based on the influencing factors; and assigning a value to the vegetation recovery restriction factor as the second disturbance factor; Based on the factors affecting the implementation quality of soil and water conservation in the construction of power grid projects, a third disturbance factor is obtained; this includes: obtaining the factors affecting the construction quality of soil and water conservation in the construction of power grid projects, the construction quality factors including cost input, personnel input, project volume, construction difficulty, and vegetation restoration period; constructing a construction quality influencing factor analysis model based on a polynomial function, using the construction quality influencing factors as parameters of the polynomial function, and using the construction quality influencing factor analysis model to calculate the comprehensive impact degree value of the construction quality affecting the soil and water conservation in the construction of power grid projects, and using the comprehensive impact degree value of the construction quality as the third disturbance factor; Combining the first disturbance factor, the second disturbance factor, and the third disturbance factor, performing analysis using a neural network model to obtain analysis results; Based on the analysis results, implement optimized design of soil and water conservation for power grid project construction; including: generating charts and reports based on the analysis results for use in formulating an implementation plan for optimized design of soil and water conservation for power grid project construction; wherein the implementation plan includes: Using a 3D terrain model, a 3D scene map of the power grid project construction area is constructed to design, deploy, and implement the soil and water conservation process for the power grid project construction. Based on satellite remote sensing data or with the help of drones, remote sensing image data of the power grid construction area is obtained, and the remote sensing image data is pre-processed to obtain surface reflectivity data and surface cover information data to evaluate the vegetation restoration of soil and water conservation during the power grid construction and obtain the first assessment results; Using remote sensing image data and geographic information system technology, a soil and water conservation evaluation model was established to evaluate the effectiveness of soil and water conservation during power grid project construction and obtain a second evaluation result; According to the implementation progress, the results of the first and second assessments, based on soil habitat creation technology and plant optimization configuration plan, combined with the construction conditions, construction technical standards, construction period requirements and cost budget of the power grid project, construction is carried out in accordance with the corresponding construction technology.

2. The method for optimizing soil and water conservation for power grid construction based on disturbance factor analysis according to claim 1 is characterized in that: Obtain basic land data for the power grid project construction area, including: The soil erosion modulus is estimated using the soil loss equation to obtain the soil erosion modulus; According to the soil erosion classification and grading standards, the soil erosion modulus is classified and graded to obtain the spatial distribution results of soil erosion intensity; According to the results of spatial distribution of soil erosion intensity, the differences in terrain slope and elevation on soil erosion intensity were analyzed to obtain the results of spatial distribution of soil and water loss intensity; Based on the spatial distribution results of soil and water loss intensity, the basic land data of the power grid project construction area was extracted.

3. The method for optimizing soil and water conservation for power grid construction based on disturbance factor analysis according to claim 1 is characterized in that: Combining the first perturbation factor, the second perturbation factor, and the third perturbation factor, a neural network model is used for analysis to obtain analysis results, including: The first disturbance factor, the second disturbance factor, and the third disturbance factor are input into a preset neural network model for analysis to obtain a predicted value of the degree of disturbance impact on the optimal design of soil and water conservation for power grid project construction; Based on the predicted value of the disturbance impact degree, several analysis templates are used to analyze multiple categories of items to obtain analysis results.

4. The method for optimizing soil and water conservation for power grid construction based on disturbance factor analysis according to claim 1 is characterized in that: Before generating charts and reports based on the analysis results for use in formulating an implementation plan for optimizing the design of soil and water conservation for power grid project construction, the following steps are also required: The feasibility and construction benefit evaluation of soil and water conservation in power grid project construction are as follows: Collect case data of power grid project construction under different conditions, conduct feasibility analysis on the case data, and obtain feasibility analysis results; Based on the feasibility analysis results, determine the evaluation index system for power grid project construction under different conditions, as well as the weights and scoring methods of different indicators; Based on the evaluation index system, weights and scoring method, a power grid project construction benefit evaluation model is established to conduct power grid project construction benefit evaluation and obtain power grid project construction benefit evaluation results; According to the feasibility analysis results and the power grid project construction benefit evaluation results, economic benefit calculation is carried out based on the economic benefit calculation model to obtain economic benefit calculation data; Include economic benefit measurement data as part of charts and reports.

5. The method for optimizing soil and water conservation design for power grid construction based on disturbance factor analysis according to claim 1 is characterized in that: It also includes establishing a monitoring and simulation model for power grid project construction, conducting simulation monitoring and simulation of the implementation of the implementation plan, and improving the construction strategy based on the simulation monitoring and simulation results, including: The first disturbance factor, the second disturbance factor, and the third disturbance factor are weighted based on their impact on the progress of the power grid project to obtain a first weighted disturbance factor, a second weighted disturbance factor, and a third weighted disturbance factor; Summing the first weighted disturbance factor, the second weighted disturbance factor, and the third weighted disturbance factor to obtain a comprehensive weighted disturbance factor; According to the construction progress stage, obtain soil and water conservation simulation monitoring and deduction data for several preset periods; Processing the level-keeping simulation monitoring and deduction data to obtain the resolution coefficients of several preset periods; Using the grey correlation analysis algorithm, the resolution coefficients of several preset periods are used as the resolution coefficients of the grey correlation analysis algorithm, the simulated monitoring and deduction vectors of multiple sampling moments within the preset period and the characteristic vectors in the soil and water conservation disturbance impact category database are used as the input of the grey correlation analysis algorithm, and the output is the matching value of the simulated monitoring and deduction vectors and the characteristic vectors at multiple sampling moments. If the matching value is greater than the preset matching threshold, the soil and water conservation disturbance impact category of the preset period is determined, and according to the soil and water conservation disturbance impact category, matching is performed in the preset soil and water conservation disturbance impact response construction strategy library to match the response construction strategy for improving the soil and water conservation disturbance impact.

6. The method for optimizing soil and water conservation in power grid construction based on disturbance factor analysis according to claim 1 is characterized in that: It also includes presenting the optimized design of soil and water conservation for power grid project construction based on augmented reality technology, adjusting the scene based on artificial intelligence technology, and presenting the adjustment results in real time. The specific steps are as follows: Using a processor equipped with an augmented reality device to present an electronic map of the power grid project construction area; Presenting augmented reality scenarios of soil and water conservation optimization designs for multiple power grid construction projects on electronic maps; According to the user's selection operation of a first target scene of the augmented reality scene, basic scene information corresponding to the first target scene and a set of object information of objects constituting the scene are obtained, and the basic scene information and the set of object information are presented; Based on the user's adjustment operation on the second target scene of the augmented reality scene, the basic information of the scene to be adjusted corresponding to the second target scene and the object information of the objects in the scene to be adjusted are obtained. Using the artificial intelligence algorithm model, the rendering pose of the object information is adjusted, and the adjustment results are presented in real time to achieve the adjustment and improvement of the scene of the optimized design of soil and water conservation in the construction of the power grid project.

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